[jira] [Created] (ARROW-10579) read_csv from a large file with long string columns failed to parse the input correctly

[ran (Jira)]

ran created ARROW-10579:
---------------------------

             Summary: read_csv from a large file with long string columns 
failed to parse the input correctly
                 Key: ARROW-10579
                 URL: https://issues.apache.org/jira/browse/ARROW-10579
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 2.0.0
         Environment: python  3.8 pyarrow 2.0.0
            Reporter: ran


import pyarrow.csv as pac # PyArrow is installed with `datasets`

read_options = pac.ReadOptions(block_size=1e9)
parse_options = pac.ParseOptions(delimiter=',')
table = csv.read_csv('0.csv', 
read_options=read_options,parse_options=parse_options)

I get the following error:

~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/_csv.pyx in 
pyarrow._csv.read_csv() 
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in 
pyarrow.lib.pyarrow_internal_check_status() 
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in 
pyarrow.lib.check_status() ArrowInvalid: CSV parse error: Expected 5 columns, 
got 187

I validate that the CSV is good and I am able to read it using Pandas and 
write+read it to hdf5.

Thanks for the help :)



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